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<div class="header">
  <div class="summary">
<a href="#func-members">Functions</a>  </div>
  <div class="headertitle">
<div class="title">Math with F0-transform support<div class="ingroups"><a class="el" href="../../df/d5b/group__fuzzy.html">Image processing based on fuzzy mathematics</a></div></div>  </div>
</div><!--header-->
<div class="contents">
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:ga2e6f8833aa72454850665baf7a583229"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d8e/group__f0__math.html#ga2e6f8833aa72454850665baf7a583229">cv::ft::FT02D_components</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> matrix, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> kernel, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> components, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> mask=<a class="el" href="../../dc/d84/group__core__basic.html#gad9287b23bba2fed753b36ef561ae7346">noArray</a>())</td></tr>
<tr class="memdesc:ga2e6f8833aa72454850665baf7a583229"><td class="mdescLeft"> </td><td class="mdescRight">Computes components of the array using direct \(F^0\)-transform.  <a href="../../d5/d8e/group__f0__math.html#ga2e6f8833aa72454850665baf7a583229">More...</a><br/></td></tr>
<tr class="separator:ga2e6f8833aa72454850665baf7a583229"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga55a31d93a56ff0713cb466b4c39f3b6f"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d8e/group__f0__math.html#ga55a31d93a56ff0713cb466b4c39f3b6f">cv::ft::FT02D_FL_process</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> matrix, const int radius, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> output)</td></tr>
<tr class="memdesc:ga55a31d93a56ff0713cb466b4c39f3b6f"><td class="mdescLeft"> </td><td class="mdescRight">Sligtly less accurate version of \(F^0\)-transfrom computation optimized for higher speed. The methods counts with linear basic function.  <a href="../../d5/d8e/group__f0__math.html#ga55a31d93a56ff0713cb466b4c39f3b6f">More...</a><br/></td></tr>
<tr class="separator:ga55a31d93a56ff0713cb466b4c39f3b6f"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gafc5685ee620a0b397c1b86c3fc82bd39"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d8e/group__f0__math.html#gafc5685ee620a0b397c1b86c3fc82bd39">cv::ft::FT02D_FL_process_float</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> matrix, const int radius, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> output)</td></tr>
<tr class="memdesc:gafc5685ee620a0b397c1b86c3fc82bd39"><td class="mdescLeft"> </td><td class="mdescRight">Sligtly less accurate version of \(F^0\)-transfrom computation optimized for higher speed. The methods counts with linear basic function.  <a href="../../d5/d8e/group__f0__math.html#gafc5685ee620a0b397c1b86c3fc82bd39">More...</a><br/></td></tr>
<tr class="separator:gafc5685ee620a0b397c1b86c3fc82bd39"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga03b14c805fcdfbb3f1b23e1ab4d1e12c"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d8e/group__f0__math.html#ga03b14c805fcdfbb3f1b23e1ab4d1e12c">cv::ft::FT02D_inverseFT</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> components, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> kernel, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> output, int width, int height)</td></tr>
<tr class="memdesc:ga03b14c805fcdfbb3f1b23e1ab4d1e12c"><td class="mdescLeft"> </td><td class="mdescRight">Computes inverse \(F^0\)-transfrom.  <a href="../../d5/d8e/group__f0__math.html#ga03b14c805fcdfbb3f1b23e1ab4d1e12c">More...</a><br/></td></tr>
<tr class="separator:ga03b14c805fcdfbb3f1b23e1ab4d1e12c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga03c0e714c646c6d0394ae0eb2c2ae2a3"><td align="right" class="memItemLeft" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d8e/group__f0__math.html#ga03c0e714c646c6d0394ae0eb2c2ae2a3">cv::ft::FT02D_iteration</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> matrix, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> kernel, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> output, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> mask, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> maskOutput, bool firstStop)</td></tr>
<tr class="memdesc:ga03c0e714c646c6d0394ae0eb2c2ae2a3"><td class="mdescLeft"> </td><td class="mdescRight">Computes \(F^0\)-transfrom and inverse \(F^0\)-transfrom at once and return state.  <a href="../../d5/d8e/group__f0__math.html#ga03c0e714c646c6d0394ae0eb2c2ae2a3">More...</a><br/></td></tr>
<tr class="separator:ga03c0e714c646c6d0394ae0eb2c2ae2a3"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gab672419d3deead8602de611537099288"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d8e/group__f0__math.html#gab672419d3deead8602de611537099288">cv::ft::FT02D_process</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> matrix, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> kernel, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> output, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> mask=<a class="el" href="../../dc/d84/group__core__basic.html#gad9287b23bba2fed753b36ef561ae7346">noArray</a>())</td></tr>
<tr class="memdesc:gab672419d3deead8602de611537099288"><td class="mdescLeft"> </td><td class="mdescRight">Computes \(F^0\)-transfrom and inverse \(F^0\)-transfrom at once.  <a href="../../d5/d8e/group__f0__math.html#gab672419d3deead8602de611537099288">More...</a><br/></td></tr>
<tr class="separator:gab672419d3deead8602de611537099288"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<a id="details" name="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>Fuzzy transform ( \(F^0\)-transform) of the 0th degree transforms whole image to a matrix of its components. These components are used in latter computation where each of them represents average color of certain subarea. </p>
<h2 class="groupheader">Function Documentation</h2>
<a id="ga2e6f8833aa72454850665baf7a583229"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga2e6f8833aa72454850665baf7a583229">◆ </a></span>FT02D_components()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT02D_components </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>kernel</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>components</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>mask</em> = <code><a class="el" href="../../dc/d84/group__core__basic.html#gad9287b23bba2fed753b36ef561ae7346">noArray</a>()</code> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>components</td><td>=</td><td>cv.ft.FT02D_components(</td><td class="paramname">matrix, kernel[, components[, mask]]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d1/d6d/fuzzy__F0__math_8hpp.html">opencv2/fuzzy/fuzzy_F0_math.hpp</a>&gt;</code></p>
<p>Computes components of the array using direct \(F^0\)-transform. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">matrix</td><td>Input array. </td></tr>
    <tr><td class="paramname">kernel</td><td>Kernel used for processing. Function <code><a class="el" href="../../d1/dfc/group__f__image.html#ga0e5694cf8dd380d512e915660870027c" title="Creates kernel from basic functions. ">ft::createKernel</a></code> can be used. </td></tr>
    <tr><td class="paramname">components</td><td>Output 32-bit float array for the components. </td></tr>
    <tr><td class="paramname">mask</td><td>Mask can be used for unwanted area marking.</td></tr>
  </table>
  </dd>
</dl>
<p>The function computes components using predefined kernel and mask. </p>
</div>
</div>
<a id="ga55a31d93a56ff0713cb466b4c39f3b6f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga55a31d93a56ff0713cb466b4c39f3b6f">◆ </a></span>FT02D_FL_process()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT02D_FL_process </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int </td>
          <td class="paramname"><em>radius</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>output</em> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>output</td><td>=</td><td>cv.ft.FT02D_FL_process(</td><td class="paramname">matrix, radius[, output]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d1/d6d/fuzzy__F0__math_8hpp.html">opencv2/fuzzy/fuzzy_F0_math.hpp</a>&gt;</code></p>
<p>Sligtly less accurate version of \(F^0\)-transfrom computation optimized for higher speed. The methods counts with linear basic function. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">matrix</td><td>Input 3 channels matrix. </td></tr>
    <tr><td class="paramname">radius</td><td>Radius of the <code><a class="el" href="../../df/d5b/group__fuzzy.html#gga847dcdc873389a919e2c3ba910a2bd39a4d3d0c977941e929e23e9c6cb4ae4715" title="linear (triangular) shape ">ft::LINEAR</a></code> basic function. </td></tr>
    <tr><td class="paramname">output</td><td>Output array.</td></tr>
  </table>
  </dd>
</dl>
<p>This function computes F-transfrom and inverse F-transfotm using linear basic function in one step. It is ~10 times faster than <code><a class="el" href="../../d5/d8e/group__f0__math.html#gab672419d3deead8602de611537099288" title="Computes -transfrom and inverse -transfrom at once. ">ft::FT02D_process</a></code> method. </p>
</div>
</div>
<a id="gafc5685ee620a0b397c1b86c3fc82bd39"></a>
<h2 class="memtitle"><span class="permalink"><a href="#gafc5685ee620a0b397c1b86c3fc82bd39">◆ </a></span>FT02D_FL_process_float()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT02D_FL_process_float </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int </td>
          <td class="paramname"><em>radius</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>output</em> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>output</td><td>=</td><td>cv.ft.FT02D_FL_process_float(</td><td class="paramname">matrix, radius[, output]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d1/d6d/fuzzy__F0__math_8hpp.html">opencv2/fuzzy/fuzzy_F0_math.hpp</a>&gt;</code></p>
<p>Sligtly less accurate version of \(F^0\)-transfrom computation optimized for higher speed. The methods counts with linear basic function. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">matrix</td><td>Input 3 channels matrix. </td></tr>
    <tr><td class="paramname">radius</td><td>Radius of the <code><a class="el" href="../../df/d5b/group__fuzzy.html#gga847dcdc873389a919e2c3ba910a2bd39a4d3d0c977941e929e23e9c6cb4ae4715" title="linear (triangular) shape ">ft::LINEAR</a></code> basic function. </td></tr>
    <tr><td class="paramname">output</td><td>Output array.</td></tr>
  </table>
  </dd>
</dl>
<p>This function computes F-transfrom and inverse F-transfotm using linear basic function in one step. It is ~9 times faster then <code><a class="el" href="../../d5/d8e/group__f0__math.html#gab672419d3deead8602de611537099288" title="Computes -transfrom and inverse -transfrom at once. ">ft::FT02D_process</a></code> method and more accurate than <code><a class="el" href="../../d5/d8e/group__f0__math.html#ga55a31d93a56ff0713cb466b4c39f3b6f" title="Sligtly less accurate version of -transfrom computation optimized for higher speed. The methods counts with linear basic function. ">ft::FT02D_FL_process</a></code> method. </p>
</div>
</div>
<a id="ga03b14c805fcdfbb3f1b23e1ab4d1e12c"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga03b14c805fcdfbb3f1b23e1ab4d1e12c">◆ </a></span>FT02D_inverseFT()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT02D_inverseFT </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>components</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>kernel</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>output</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int </td>
          <td class="paramname"><em>width</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int </td>
          <td class="paramname"><em>height</em> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>output</td><td>=</td><td>cv.ft.FT02D_inverseFT(</td><td class="paramname">components, kernel, width, height[, output]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d1/d6d/fuzzy__F0__math_8hpp.html">opencv2/fuzzy/fuzzy_F0_math.hpp</a>&gt;</code></p>
<p>Computes inverse \(F^0\)-transfrom. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">components</td><td>Input 32-bit float single channel array for the components. </td></tr>
    <tr><td class="paramname">kernel</td><td>Kernel used for processing. Function <code><a class="el" href="../../d1/dfc/group__f__image.html#ga0e5694cf8dd380d512e915660870027c" title="Creates kernel from basic functions. ">ft::createKernel</a></code> can be used. </td></tr>
    <tr><td class="paramname">output</td><td>Output 32-bit float array. </td></tr>
    <tr><td class="paramname">width</td><td>Width of the output array. </td></tr>
    <tr><td class="paramname">height</td><td>Height of the output array.</td></tr>
  </table>
  </dd>
</dl>
<p>Computation of inverse F-transform. </p>
</div>
</div>
<a id="ga03c0e714c646c6d0394ae0eb2c2ae2a3"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga03c0e714c646c6d0394ae0eb2c2ae2a3">◆ </a></span>FT02D_iteration()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">int cv::ft::FT02D_iteration </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>kernel</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>output</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>mask</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>maskOutput</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">bool </td>
          <td class="paramname"><em>firstStop</em> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>retval, output, maskOutput</td><td>=</td><td>cv.ft.FT02D_iteration(</td><td class="paramname">matrix, kernel, mask, firstStop[, output[, maskOutput]]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d1/d6d/fuzzy__F0__math_8hpp.html">opencv2/fuzzy/fuzzy_F0_math.hpp</a>&gt;</code></p>
<p>Computes \(F^0\)-transfrom and inverse \(F^0\)-transfrom at once and return state. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">matrix</td><td>Input matrix. </td></tr>
    <tr><td class="paramname">kernel</td><td>Kernel used for processing. Function <code><a class="el" href="../../d1/dfc/group__f__image.html#ga0e5694cf8dd380d512e915660870027c" title="Creates kernel from basic functions. ">ft::createKernel</a></code> can be used. </td></tr>
    <tr><td class="paramname">output</td><td>Output 32-bit float array. </td></tr>
    <tr><td class="paramname">mask</td><td>Mask used for unwanted area marking. </td></tr>
    <tr><td class="paramname">maskOutput</td><td>Mask after one iteration. </td></tr>
    <tr><td class="paramname">firstStop</td><td>If <b>true</b> function returns -1 when first problem appears. In case of <code>false</code> the process is completed and summation of all problems returned.</td></tr>
  </table>
  </dd>
</dl>
<p>This function computes iteration of F-transfrom and inverse F-transfotm and handle image and mask change. The function is used in <code><a class="el" href="../../d1/dfc/group__f__image.html#ga62fa7703db24939ad65d7a799e8e599e" title="Image inpainting. ">ft::inpaint</a></code> function. </p>
</div>
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<a id="gab672419d3deead8602de611537099288"></a>
<h2 class="memtitle"><span class="permalink"><a href="#gab672419d3deead8602de611537099288">◆ </a></span>FT02D_process()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT02D_process </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>kernel</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>output</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>mask</em> = <code><a class="el" href="../../dc/d84/group__core__basic.html#gad9287b23bba2fed753b36ef561ae7346">noArray</a>()</code> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>output</td><td>=</td><td>cv.ft.FT02D_process(</td><td class="paramname">matrix, kernel[, output[, mask]]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d1/d6d/fuzzy__F0__math_8hpp.html">opencv2/fuzzy/fuzzy_F0_math.hpp</a>&gt;</code></p>
<p>Computes \(F^0\)-transfrom and inverse \(F^0\)-transfrom at once. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">matrix</td><td>Input matrix. </td></tr>
    <tr><td class="paramname">kernel</td><td>Kernel used for processing. Function <code><a class="el" href="../../d1/dfc/group__f__image.html#ga0e5694cf8dd380d512e915660870027c" title="Creates kernel from basic functions. ">ft::createKernel</a></code> can be used. </td></tr>
    <tr><td class="paramname">output</td><td>Output 32-bit float array. </td></tr>
    <tr><td class="paramname">mask</td><td>Mask used for unwanted area marking.</td></tr>
  </table>
  </dd>
</dl>
<p>This function computes F-transfrom and inverse F-transfotm in one step. It is fully sufficient and optimized for <code><a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">cv::Mat</a></code>. </p>
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